Instructions to use billfass/bert-base-sentiment-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use billfass/bert-base-sentiment-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="billfass/bert-base-sentiment-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("billfass/bert-base-sentiment-classification") model = AutoModelForSequenceClassification.from_pretrained("billfass/bert-base-sentiment-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Push model using huggingface_hub.
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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size 669519281
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